A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, colleagues, etc. Our proposal deals with large numbers of automatically dete...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Universidad Internacional de La Rioja (UNIR)
2020-06-01
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Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
Subjects: | |
Online Access: | http://www.ijimai.org/journal/bibcite/reference/2758 |